Gender: Female 
Age: 35-44
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: Graduate degree
Mother's education: Undergraduate degree
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 4
Home: Rent 
Employment: Employed full time
Occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Mother's occupation: Homemaker
Father's occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians);Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information);Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Hobbies: Listen to jazz;Listen to classical music;Listen to rock/indie music;Listen to hiphop and rap;Go to gigs;Use social media;Go to museums and galleries;Do arts and crafts 
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools they would find useful: Spell checker (i.e., correcting misspellings);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
Frequency of LLM use: Nearly every day
LLMs used: Claude;ChatGPT 
LLM use cases: Brainstorming;Generic chatbot conversation;Analyze data;Other (specify);Solving math or logical problems;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Digital content creation (e.g., creation of social media content) Journalling, Internal Family Systems therapy, Tarot reading
Contexts of LLM use: Entertainment;Personal;Technical;Creative or artistic;Learning 
Prompt 1: My cards of the day: father of pentacles and the hermit, what could they  mean?
Prompt 2: Help me do IFS on my inner critic
Prompt 3: How can I cheer myself up?
Prompt 4: How can I cheer my friend up?
Prompt 5: Is Photoshop suitable for learning digital painting?
Prompt 6: My Plex server started buffering on this one particular movie, is it because of CPU, GPU or bandwidth issues?
Prompt 7: How can I motivate myself to make a dentist appointment?
Prompt 8: What should I have for dinner?
Prompt 9: Should I ask my crush out?
Prompt 10: January is so dreary and dull, I wish it was Spring already